{"id":"https://openalex.org/W4413147120","doi":"https://doi.org/10.1109/cvpr52734.2025.00136","title":"LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds","display_name":"LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413147120","doi":"https://doi.org/10.1109/cvpr52734.2025.00136"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.00136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.00136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102008204","display_name":"Zihui Zhang","orcid":"https://orcid.org/0000-0002-7071-4792"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Zihui Zhang","raw_affiliation_strings":["The Hong Kong Polytechnic University,Shenzhen Research Institute"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Shenzhen Research Institute","institution_ids":["https://openalex.org/I182722699","https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048237280","display_name":"Wei Dai","orcid":"https://orcid.org/0000-0003-0169-8327"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Weisheng Dai","raw_affiliation_strings":["The Hong Kong Polytechnic University,Shenzhen Research Institute"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Shenzhen Research Institute","institution_ids":["https://openalex.org/I182722699","https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065534854","display_name":"Hongtao Wen","orcid":"https://orcid.org/0000-0001-6951-4155"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]},{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Hongtao Wen","raw_affiliation_strings":["The Hong Kong Polytechnic University,Shenzhen Research Institute"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Shenzhen Research Institute","institution_ids":["https://openalex.org/I182722699","https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000683189","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0002-1108-4006"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]},{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["The Hong Kong Polytechnic University,Shenzhen Research Institute"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Shenzhen Research Institute","institution_ids":["https://openalex.org/I182722699","https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102008204"],"corresponding_institution_ids":["https://openalex.org/I14243506","https://openalex.org/I182722699"],"apc_list":null,"apc_paid":null,"fwci":1.4157,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82001181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1374","last_page":"1384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6923442482948303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6853175759315491},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6446411609649658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5117785334587097},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46806207299232483},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4164116680622101},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09218576550483704}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6923442482948303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6853175759315491},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6446411609649658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5117785334587097},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46806207299232483},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4164116680622101},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09218576550483704},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.00136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.00136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W1522196789"],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2,37,87,123,135,148],"problem":[3,24],"of":[4,150],"unsupervised":[5,117,127],"3D":[6,58,75,128,145],"semantic":[7,45,76,94,129],"segmentation":[8,99],"on":[9,103],"raw":[10],"point":[11,65],"clouds":[12],"without":[13],"needing":[14],"human":[15,151],"labels":[16,152],"in":[17,86,147],"training.":[18,154],"Existing":[19],"methods":[20,118],"usually":[21],"formulate":[22],"this":[23,51],"into":[25,134],"learning":[26],"per-point":[27],"local":[28,48,62],"features":[29],"followed":[30],"by":[31,78,119],"a":[32,98],"simple":[33],"grouping":[34,79],"strategy,":[35],"lacking":[36],"ability":[38],"to":[39,56,69,73,82],"discover":[40,74],"additional":[41],"and":[42,63,106,157],"possibly":[43],"richer":[44],"priors":[46],"beyond":[47],"features.":[49,66],"In":[50],"paper,":[52],"we":[53],"introduce":[54],"LogoSP":[55,113],"learn":[57],"semantics":[59,146],"from":[60],"both":[61],"global":[64,84,137],"The":[67],"key":[68],"our":[70,112,132],"approach":[71],"is":[72],"information":[77],"superpoints":[80],"according":[81],"their":[83],"patterns":[85,138],"frequency":[88],"domain,":[89],"thus":[90],"generating":[91],"highly":[92],"accurate":[93],"pseudo-labels":[95],"for":[96,126],"training":[97],"network.":[100],"Extensive":[101],"experiments":[102],"two":[104],"indoor":[105],"an":[107],"outdoor":[108],"datasets":[109],"show":[110],"that":[111,140],"surpasses":[114],"all":[115],"existing":[116],"large":[120],"margins,":[121],"achieving":[122],"state-of-the-art":[124],"performance":[125],"segmentation.":[130],"Notably,":[131],"investigation":[133],"learned":[136],"reveals":[139],"they":[141],"truly":[142],"represent":[143],"meaningful":[144],"absence":[149],"during":[153],"Our":[155],"code":[156],"data":[158],"are":[159],"available":[160],"at":[161],"https://github.com/vLAR-group/LogoSP":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
